StarRocks Data Engineer / Platform Engineer

Position: StarRocks Data Engineer / Platform Engineer

Location: Austin, TX & Sunnyvale, CA (Remote)

Project Type: Full-Time 

Job Description

We are looking for an experienced StarRocks Data Engineer / Platform Engineer to design, implement, and optimize high-performance analytics platforms using StarRocks. The ideal candidate should have strong expertise in distributed databases, data warehousing, real-time analytics, and cloud-native technologies.

Key Responsibilities

• Design, deploy, and manage StarRocks clusters for large-scale analytical workloads.
• Build and optimize real-time and batch data ingestion pipelines.
• Develop scalable data models to support business intelligence and analytics requirements.
• Monitor, troubleshoot, and tune StarRocks performance for high concurrency and low-latency queries.
• Integrate StarRocks with cloud platforms, data lakes, and streaming technologies.
• Collaborate with data engineering, analytics, and platform teams to deliver robust data solutions.
• Implement security, backup, disaster recovery, and governance best practices.
• Support production environments and resolve performance bottlenecks.

Required Skills

• 7–9 years of experience in Data Engineering, Big Data, or Database Engineering.
• Hands-on experience with StarRocks database administration, deployment, and performance tuning.
• Strong knowledge of distributed OLAP databases and data warehousing concepts.
• Experience with SQL optimization and query performance analysis.
• Expertise in ETL/ELT frameworks and data pipeline development.
• Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
• Strong understanding of Linux administration and distributed systems.
• Experience with container technologies such as Docker and Kubernetes.
• Knowledge of data integration tools and streaming platforms such as Kafka, Spark, or Flink.

Preferred Skills

• Experience with modern data lake architectures (Iceberg, Hudi, Delta Lake).
• Exposure to BI and reporting tools such as Tableau, Power BI, or Looker.
• Experience with Infrastructure as Code (Terraform, CloudFormation).
• Knowledge of Python, Java, or Scala.
• Experience in multi-cloud environments and large-scale analytics platforms.

Education

• Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or a related field.